Acta Logistica | 2026
Authors: Hadi A.; Hasan R.A.; Abdulateef A.D.; Ihsan M.M.; Azzawi A.A.
DOI: 10.22306/al.v13i1.755
Journal: Acta Logistica
Year: 2026
Publisher: 4S go, s.r.o
Document Type: Article
Open Access: All Open Access; Gold Open Access
Cited by: 0
This study investigates the behavioral and situational determinants that disrupt the efficient flow of road traffic in Jordan, framing the issue within the broader discipline of transport logistics and flow management. Official crash data obtained from the Public Security Directorate and cost records from local insurance companies were utilized to develop twelve multiple linear regression models that quantify the relationship between human factors and interruptions in traffic, informational, and financial flows. Six models examined the frequency and severity of accidents, while another six analyzed their associated economic impacts. The modeling results identified a consistent set of influential predictors most notably failure to take necessary driving precautions (X8), violation of traffic priorities (X9), and lane misuse (X4) that significantly contribute to both accident occurrence and the resulting financial losses. Most models achieved R² values exceeding 0.95, indicating a strong relationship between behavioral inefficiencies and breakdowns in overall road logistics performance. The findings emphasize that driver behavior represents a primary bottleneck in the mobility and cost flow system, directly influencing logistical efficiency across the transport sector. The study highlights the necessity of integrating traffic safety with logistics management by developing preventive strategies, improving regulatory enforcement, and enhancing driver awareness programs. Future research is encouraged to include environmental, temporal, and infrastructural variables to establish a more comprehensive logistics-based framework for understanding and mitigating crash dynamics in Jordan. © 2026, 4S go, s.r.o. All rights reserved.
accident prediction models; driver behaviour; traffic accidents; traffic accidents cost; traffic safety